Scientific Development Research

The formation and accumulation of coke precursors during the methanol-to-olefins process are key factors affecting catalyst life and reaction efficiency. To address the shortcomings of traditional offline detection, such as lag and difficulty in achieving real-time feedback, this study constructs a multi-dimensional on-line monitoring system based on technologies including spectral analysis, mass spectrometry, and on-line infrared imaging. This system enables dynamic tracking of the concentration, structure, and distribution of coke precursors inside the reactor. The results show that the system can accurately identify the formation trends of aromatic and polyene precursors in the early stage of the reaction, and realize early warning of coking risks by combining data modeling. This method not only improves the stability and economy of the operation of methanol-to-olefins reactors but also provides technical support for the intelligent operation and maintenance of industrial devices, which is of great significance for extending catalyst life and optimizing reaction conditions.

Methanol-to-olefins; Coke precursor; On-line monitoring technology; Catalyst life; Reactor operation